309 results on '"Teodoro, Larissa Pereira Ribeiro"'
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2. Flavonoids and their relationship with the physiological quality of seeds from different soybean genotypes
3. Geographical adaptability for optimizing the recommendation of soybean cultivars in the Brazilian Cerrado
4. Monitoring and predicting corn grain quality on the transport and post-harvest operations in storage units using sensors and machine learning models
5. Boron nutrition increase soybean seed yield and maintain the quality of germination in storage seeds
6. Machine learning for classification of soybean populations for industrial technological variables based on agronomic traits
7. Environmental and climatic Interconnections: Impacts of forest fires in the Mato Grosso region of the Amazon
8. Monitoring and predicting the quality of soybeans for different drying and storage technologies on a real scale using sensors and Machine Learning models
9. Land use predicition accuracy of different supervised classifiers over agriculture and livestock economy-based municipality in Brazil
10. Prediction of secondary metabolites in maize under different nitrogen inputs by hyperspectral sensing and machine learning
11. Classification of soybean groups for grain yield and industrial traits using Vnir-Swir spectroscopy
12. Machine learning in the classification of asian rust severity in soybean using hyperspectral sensor
13. Dynamics of major environmental disasters involving fire in the Brazilian Pantanal
14. Understanding the combining ability of nutritional, agronomic and industrial traits in soybean F2 progenies
15. Sensor-cable-probe and sampler for early detection and prediction of dry matter loss and real-time corn grain quality in transport and storage
16. High-throughput phenotyping using VIS/NIR spectroscopy in the classification of soybean genotypes for grain yield and industrial traits
17. Statistical methods for genetic evaluation and selection of parents and hybrids of grain sorghum
18. New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
19. Soil CO2 emissions under different land-use managements in Mato Grosso do Sul, Brazil
20. Spectral variables as criteria for selection of soybean genotypes at different vegetative stages
21. Remotely sensed imagery and machine learning for mapping of sesame crop in the Brazilian Midwest
22. Implications of CO2 emissions on the main land and forest uses in the Brazilian Amazon
23. Planting Arrangement and Seedling Type Influence Yield and Quality of Ratoon Sugarcane?
24. Spectro-temporal analysis of anthropic interference in water production in the Guarani Aquifer
25. Classification of soybean genotypes for industrial traits using UAV multispectral imagery and machine learning
26. Prototype wireless sensor network and Internet of Things platform for real-time monitoring of intergranular equilibrium moisture content and predict the quality corn stored in silos bags
27. High-throughput phenotyping of two plant-size traits of Eucalyptus species using neural networks
28. Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies
29. Variable-rate seeding in soybean according to soil attributes related to grain yield
30. Prognosis of aboveground woody biomass in a central Brazilian Cerrado monitored for 27 years after the implementation of management systems
31. High-throughput phenotyping allows the selection of soybean genotypes for earliness and high grain yield
32. Predicting the quality of soybean seeds stored in different environments and packaging using machine learning
33. Reduction of pesticide application via real-time precision spraying
34. Amazonian species evaluation using leaf-based spectroscopy data and dimensionality reduction approaches
35. Effect of Water Deficit on Secondary Metabolites and Nutrient Content on Forage Sorghum.
36. Assessing soil CO2 emission on eucalyptus species using UAV-based reflectance and vegetation indices.
37. Genetic diversity and population structure in Jatropha (Jatrophacurcas L.) based on molecular markers
38. Effect of land uses and land cover on soil attributes in the southern Brazilian Amazon
39. UAV-based multispectral sensor to measure variations in corn as a function of nitrogen topdressing
40. Rainfall and Extreme Drought Detection: An Analysis for a Potential Agricultural Region in the Southern Brazilian Amazon.
41. Classification of Soybean Genotypes as to Calcium, Magnesium, and Sulfur Content Using Machine Learning Models and UAV–Multispectral Sensor.
42. Structural equation modelling and factor analysis of the relationship between agronomic traits and vegetation indices in corn
43. Twenty-year impact of fire foci and its relationship with climate variables in Brazilian regions
44. Simulating multispectral MSI bandsets (Sentinel-2) from hyperspectral observations via spectroradiometer for identifying soybean cultivars
45. Identification of tillage for soybean crop by spectro-temporal variables, GEOBIA, and decision tree
46. Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest
47. A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning
48. Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus
49. Macro- and Micronutrient Contents and Their Relationship with Growth in Six Eucalyptus Species
50. New approach for predicting nitrogen and pigments in maize from hyperspectral data and machine learning models
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